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Location: Almaty, Kazakhstan Workplace: OnSite Why work at Higgsfield AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 40M+ users worldwide, 6M+ generations per day, and powering 430 of Fortune 500 brands. We’re building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn’t just moving fast, but rewriting what fast looks like. What you’ll do - Create shots and scenes for animated and cinematic AI-driven productions using generative video tools - Bring characters to life through acting, emotion, timing, and body language - Keep characters on model and fix what breaks: unnatural motion, inconsistencies, timing issues - Combine AI generation with traditional animation and compositing where needed - Take notes from the creative director with fast turnaround - Help define new AI-integrated animation workflows What we’re looking for - 2+ years of professional experience in animation (2D or 3D) or a degree in animation. A strong showreel matters more than your CV - Solid grasp of animation principles: timing, spacing, weight, arcs, and appeal - Understanding of anatomy and physical motion, with a trained eye for what feels right and what feels off - Experience with 2D or 3D animation software - Drawing, editing, or compositing skills are a plus - Experience with AI video tools is a plus. Openness matters more than expertise What we offer - Cutting-edge projects at the intersection of film, animation, and GenAI - High creative ownership and a fast team without bureaucracy - Competitive compensation

Designs and develops engaging, accessible, learner-centered learning solutions that support enterprise education, organizational initiatives, knowledge transfer, and performance. Conducts learning and performance analyses to identify audience needs, desired performance, root causes, skill gaps, and appropriate learning or performance-support solutions.

We’re looking for US-based, actively practicing physicians (MD/DO) to evaluate clinical EHR vignettes for a medical AI evaluation program. Score the clinical reasoning quality of benchmark items: vignette accuracy and completeness, whether the vignette gives the answer away, answer correctness and gradeability, and trap quality;

🧩 Требования: хорошее знание C++17, понимание процесса сборки программы, умение читать документацию и конфигурировать периферию микроконтроллера, работа с Git, навык работы с чужим кодом, умение писать модульные тесты, понимание принципов clean code и SOLID, навык поиска ошибок с помощью осциллографа, логического анализатора и отладчика.

Responsibilities: — Ensure the accurate integration of data from various referential and external sources into downstream systems, guaranteeing high levels of data quality and consistency. — Implement and perform first-level database controls, proactively initiating or amending processes to optimize data accuracy and operational efficiency. — Develop a deep understanding of complex transformations and computations applied to generate all computed data within the firm's systems. — Provide high-quality support to end-users, responding to requests from data users and project teams autonomously. — Work closely with Data Referential, IT, and Data Governance teams to resolve transversal data issues and ensure end-to-end data consistency. — Identify data issues, analyze their potential impacts and risks, and propose effective solutions to stakeholders. — Collaborate with major service providers (e.g., Blackrock, State Street) and participate in governance meetings to track and resolve critical data topics. — Contribute subject matter expertise in operational processes and data modeling to support various IT and Business project teams. — Ensure any deviation from standard operating models is formally agreed upon internally and well documented. Requirements: — At least 5 years of experience in Finance (ideally asset management), including significant experience in operational roles (Data, IT, front, middle or back office). — Thorough understanding of operational processes and the usage of major data users (portfolio management, middle office, risk, quant, compliance, financial controllers). — Hands-on application experience with Aladdin or Adjuto. — Autonomous approach to analyzing and solving complex requests from end-users (working beyond Standard Operating Procedures). — Ability to understand data in-flows and out-flows, technical architecture, and business transformations applied to data. — Excellent written and verbal communication in English; ability to liaise with multiple internal and external parties. — Analytical mindset with the ability to perform control checks, investigate discrepancies, and escalate appropriately. — Proactive attitude when identifying operational risks and taking necessary initiatives for risk mitigation. — Very rigorous approach and strong organizational and interpersonal competencies. Benefits: — Remote work option. — Salary paid in foreign currency. Note: When applying, please mention that you found the vacancy on Remocate.

About The Role The Safety Manager owns safety on the ground at Volta's Nordics project. Embedded in the project team, you will set the site's safety culture with the Project Delivery Manager and make sure everyone building it goes home well, every day.

Responsibilities: Designing, coding, and testing software applications. Collaborating with engineers and stakeholders to understand project requirements.

Location: Amsterdam, Netherlands; Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role: In Token Factory analytics there is no split into product analysts, ML engineers and data engineers. Each person owns a question end to end: builds the data, runs the analysis, and comes back with a recommendation that changes a decision. Your responsibilities will include: - Define core product and business metrics and build a single source of truth that Product, Finance, and Sales can rely on. - Build a comprehensive view of self-service customers, including usage patterns, customer health, satisfaction, retention risks, unmet needs, and growth opportunities. - Translate customer demand and commercial plans into capacity forecasts and support capacity allocation decisions. - Measure effective capacity utilization and identify opportunities to improve the commercial value of available capacity. - Develop and evaluate pricing and packaging models, including guaranteed capacity, on-demand pricing, commitments, clawback mechanisms, and provisioned throughput units. - Provide data-driven recommendations for the self-service and managed offerings, including customer segmentation, pricing, and capacity. - Partner with Product, Engineering, Applied AI, Finance, and Sales to turn insights into concrete product and operational improvements. We expect you to have: - 5+ years of experience in analytics or data science. - Strong Python, SQL, and statistics: you understand the code and the methods you use. - Hands-on experience analysing large-scale customer, product, and usage datasets using statistical / analytical or distributed data-processing tools. - AI-assisted coding as your default way of working: you guide it, verify it, and own the result. - The ability to go from a question to a production-ready solution. - The ability to turn complex data into clear recommendations. - Strong commercial and product judgment, with the ability to balance customer value, monetization, growth, and profitability. - Experience with pricing, packaging, monetization, or commercial analytics for technical or consumption-based products. - Strong cross-functional collaboration skills across Product, Engineering, Data, Finance, Sales, and Operations. - A hands-on and proactive working style, with the ability to operate effectively in an ambiguous and technically complex environment. Nice to have: - Familiarity with LLM inference economics: tokens, throughput and latency, batching, GPU costs. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

The Executive Assistant role at Figure involves providing high-level support to the CEO and CFO by managing their complex and frequently changing schedules, coordinating meetings with investors, board members, and senior executives, and handling detailed domestic and international travel arrangements including itineraries and expense reports. The position also includes overseeing daily operations of the New York City office, which serves about 50 employees, managing vendors, building services, supplies, onboarding logistics, and providing occasional IT support. Additionally, the role requires planning and executing executive and departmental offsites, leadership events, and office gatherings, managing budgets, venues, catering, and vendor relationships. The assistant will lead special projects and cross-functional initiatives to support leadership. Candidates must have over five years of experience supporting C-suite executives in fast-paced environments, with strong organizational skills, discretion, and proficiency in Google Workspace, Zoom, and Slack. The role requires working on-site in NYC Monday through Thursday and authorization to work in the U.S. without visa sponsorship. Compliance with company security policies and training is mandatory. Preferred qualifications include experience in publicly traded companies, financial services, fintech, or high-growth tech sectors, and familiarity with board meeting coordination, corporate governance calendars, workplace operations, or event planning. The technology stack includes Google Workspace, Zoom, and Slack. Benefits encompass comprehensive medical, dental, and vision coverage fully paid by the employer for employees and dependents on select plans, various flexible spending accounts, 401(k), commuter benefits, employer-paid life and disability insurance, 11 holidays plus PTO, up to 12 weeks paid family leave, continuing education reimbursement, a 25% annual bonus target paid quarterly, and company equity through RSUs.

Location: Ukraine; Spain; Serbia; Yerevan; Poland Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a senior pod alongside an FDE, an FDX, and Senior AI Engineers — contributing to real delivery work while building toward independent ownership. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket. Excellent communication and problem-solving skills. Comfortable with some ambiguity, with support from senior team members as you take on more. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth Hands-on experience building or contributing to RAG systems, ideally in a production or near-production setting. Solid engineering fundamentals; Python and/or TypeScript proficiency. Productive in an unfamiliar codebase with some ramp-up support. Practical AWS experience (Lambda, S3, ECS, or similar); ready to grow into Bedrock and Bedrock AgentCore . Some experience with containers and CI/CD in real projects. Exposure to evaluating non-deterministic systems — you've contributed to or run test/eval cycles, even if you haven't owned a full eval suite end-to-end. Basic working knowledge of model/agent monitoring concepts. Awareness of cost and latency trade-offs when working with LLMs. Some hands-on exposure to the Claude ecosystem (Claude Code, CLAUDE.md, hooks, skills files) is a plus, or strong ability to ramp up quickly. Practical experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) in real projects. 2+ years of software or ML engineering experience, including some exposure to production systems. Solid AI/ML foundations — you understand what the models do well enough to reason about common failure modes. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications (or actively pursuing them). A2A: Interest in agent-to-agent interoperability concepts. CI/CD pipeline experience (GitHub Actions, GitLab CI). Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа. Experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build. MCP: you can say why an agent would prefer it to a REST integration, having authored a server is an additional  plus. Responsibilities: Build and contribute to RAG system components under senior guidance, with growing autonomy. Write tests and help build out evaluation harnesses for the features you work on. Write production code across the stack (AI, backend services, data pipelines) with code review support. Help integrate AI components into backend services and RESTful APIs. Support deployment of systems to AWS (containerized, CI/CD), taking on more of this independently over time. Contribute to documentation, runbooks, and client handover materials. Participate in technical discussions and architectural decisions, with an eye toward taking on more of this independently. Support model evaluation efforts and help investigate and improve failure modes. Take on increasing ownership of components and technical decisions as you grow in the role. What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

• Sourcing Ring / security camera clips from TikTok, X, Reddit, YouTube, Instagram and Ring Neighbors. • Editing ~60-minute compilations that match the style of our existing videos exactly.

Location: San Francisco Bay Area, USA Workplace: Hybrid Why work at Higgsfield AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. About the role: We're looking for a Data Engineer to own the data that runs Higgsfield's enterprise business, from raw data to the numbers leadership makes decisions on. You'll own data end to end, from raw data collection through transformation, modeling and validation, to the reporting that Sales, RevOps, Finance and Product use to run the business. Revenue, contracts and commissions all run through this work, so accuracy matters. This is a hands-on role with real ownership. You'll report to our Data Engineering Lead, take on projects independently, and help make sure data is never the bottleneck as the business accelerates. We're an AI company, and we expect our data engineers to use AI to multiply what they can deliver. What you'll do: - Own end-to-end data pipelines, from raw data collection and transformation to modeling, validation and reporting. - Integrate CRM, billing, contract and product usage data into a consistent, trusted view of our B2B customers. - Build the data models and dashboards behind revenue reporting, commissions, forecasting and customer insights. - Turn ambiguous business questions from Sales, RevOps and Finance into scoped projects, and drive them to completion. - Close data gaps across teams, whether that means partnering with backend engineering to capture new data or fixing a broken pipeline. - Build AI-powered workflows (agents, reusable skills, automations) that work with our infrastructure and scale your impact. - Validate every number before it ships, with automated checks, monitoring and documentation that keep our data audit-ready. - Build executive-facing reports and dashboards (CEO / VP level) that are easy to read and highlight what needs action Requirements: - 4+ years in data engineering, analytics engineering or a related role, including building and maintaining complex production pipelines. - Hands-on experience building with AI, not just using it: for example, creating custom agents, skills or automations with tools like Claude, ChatGPT, Gemini or Cursor. You know where these tools help and where they fall short. - Strong SQL and Python, plus experience with modern data warehouses and transformation/orchestration tools (e.g., Snowflake or BigQuery, dbt, Airflow or Dagster). - Experience integrating data from business systems such as Salesforce, HubSpot or Stripe. - Structured thinking: you break ambiguous problems into clear steps and solve them methodically. - A proactive, self-directed approach. You learn fast, take ownership without waiting for instructions, and push work over the finish line. - Clear communication, including explaining technical work and its tradeoffs to nontechnical stakeholders. Nice to Haves: - Experience partnering with Finance on data that demands high precision (revenue, billing, commissions). - Early or growth-stage startup experience. Compensation & Benefits - We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth. - Base Salary: The anticipated salary range for this role is $200,000 - $260,000, depending on experience, skills, scope, and location. - Bonus: This role is Bonus eligible and may participate in the Company's discretionary annual bonus program. - Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield’s long-term growth. - Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally, including medical, dental, and vision insurance, a competitive 401(k) retirement plan with company matching, and additional benefits and perks. - The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team. - Significant ownership, direct impact, and opportunities for professional growth as the company scales. This is a hybrid role based in the San Francisco Bay Area. Team members are expected to work from our San Francisco office three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone. We value in-person collaboration, active communication, responsiveness, and close partnership across teams. Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 430 of Fortune 500 brands. We’re building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn’t just moving fast, but rewriting what fast looks like. WHAT OPERATIONS MEANS AT HIGGSFIELD At Higgsfield, operations are about getting things done, not meetings or “almost done.” As an Operations Manager, you’ll provide full support for the team’s operational processes. This is a hands-on role: you organize, negotiate, unblock and deliver. If you have a production background, this role is for you. You already know how to run processes, manage vendors, keep budgets under control and meet tight deadlines. WHAT YOU WILL DO - Own the team’s day-to-day operations: requests, scheduling, logistics, tools and access. - Find and manage vendors, contractors and freelancers, and negotiate terms. - Support the logistics of occasional events and shoots. - Turn chaos into simple, repeatable processes. WHO WE’RE LOOKING FOR - Proactive, high-energy and sharp: you don’t wait to be told. - Strong ownership: once a process is yours, it gets done. - Great communicator and negotiator who can find common ground with anyone. - Experience in operations, production, events, or project management. - English at B2 or higher. THE DEAL - Competitive salary in USD. - On-site role in Almaty office. - Full-time position.

Location: New York Workplace: Hybrid Category Labs (formerly known as Monad Labs) is a team of systems engineers and researchers on a mission to design and build at the frontier of decentralized technology. We strive to deliver significant improvements over existing blockchain solutions. After raising $225M in Series A funding, led by Paradigm, we are growing our team. We’re the team behind Monad, a high-performance, EVM-compatible Layer 1. We write the core software that runs it: a parallel-execution EVM https://github.com/category-labs/monad, a custom state database, and a BFT consensus client https://github.com/category-labs/monad-bft, all developed in the open. THE ROLE - We’re hiring Summer Research Interns to pursue advanced research in mechanism design, cryptoeconomics, distributed systems, programming languages, cryptography, and governance. This list isn’t exhaustive; if you bring a valuable and relevant perspective, we encourage you to apply. - This internship offers a rare chance to work at the frontier of decentralized systems: advancing the underlying science and technology while delivering real impact at scale. - Research projects will draw on the challenges of building a first-of-its-kind blockchain, as well as new directions that decentralized systems make possible. You’re also welcome to propose your own projects. - You’ll learn from Category Labs’ researchers, engineers, and fellow interns, while contributing as an independent and equal peer. - Depending on your availability and the needs of the project, the internship can be extended into part-time employment and may lead to future collaborations. WHAT YOU’LL DO - Conduct novel, rigorous research on the topics above. - Contribute to technical publications, including peer-reviewed papers, blog posts, and white papers. - Partner with the engineering team to build prototypes, run simulations, and design experiments that test your models and assumptions. - Engage with team members and visiting researchers to refine ideas and share insights from your own work. Past interns have shipped real work (small sample): - A Private RPC for Public Blockchains https://www.category.xyz/blogs/a-private-rpc-for-public-blockchains: Introduced write-public ORAM, a new primitive for reading blockchain state without revealing what you read, and built an open-source private RPC that keeps up with Monad’s throughput. - Timing Games in Responsive Consensus Protocols https://arxiv.org/abs/2510.25144: Modeled why validators delay block proposals, and designed dynamic block rewards that make proposing promptly the winning strategy. - On the Geographic Incentives of Multiple Concurrent Proposers https://arxiv.org/abs/2609.33958: Proved how proposers choose where to locate in multi-proposer systems, and when that leads to co-location versus geographic diversity. WHO YOU ARE - You’re currently enrolled in a PhD program in computer science, economics, mathematics, the social sciences, or a related field. Exceptional master’s and undergraduate students will also be considered. - You’re passionate about decentralized systems and have enough foundational knowledge to hit the ground running. - You communicate clearly and can explain complex ideas in simple terms, making research accessible to a broader audience. - You have a clear research vision and the drive to pursue innovative ideas aligned with Category Labs’ mission. - You’re collaborative, self-motivated, and adaptable, eager to tackle hard problems and pick up new concepts quickly in a fast-paced environment. WHY WORK WITH US - Challenging problems: You’ll work on extremely challenging problems with massive impact. See our Blogs https://www.category.xyz/blogs and Publications & Talks https://www.category.xyz/papers-talks for a flavor of the problems we are solving in the real world. - Huge opportunity: The Ethereum Virtual Machine (EVM) standard is ubiquitous, but existing EVM-compatible chains are very slow. Monad’s core innovations offer developers the best of both worlds (portability and performance) and are a game-changer for mass user adoption in crypto. - The right team: You’ll be part of a small, exceptional team (engineers and researchers make up 90% of the team). - Open by default: Our core software is public on GitHub. - Culture: We’re a lean team working together to achieve very ambitious goals. We are united in our culture of collaboration, low ego, and high-quality output. As an early member of our team, you’ll help to shape our culture. - Compensation: You’ll receive competitive pay, plus housing support. - Resources and growth: We’re well-capitalized, with backing https://x.com/monad_xyz/status/1777687376136982767 from leading venture funds like Paradigm, Electric Capital, Greenoaks, Dragonfly, and Coinbase Ventures. We keep a lean team, and this is a rare opportunity to join. You’ll learn a lot and grow as our company scales. HOW WE USE AI We’re an AI-native team, and we expect researchers to use AI and adapt to the technology as it evolves. A few things we believe: - AI is leverage, not a crutch. You must stand behind the correctness and quality of your work (including writing and presentation) even if it was produced with the help of AI. - As part of the research process, you must understand the output from AI before sharing it with your collaborators. Any output that you were not able to review must be marked as such. INTERNSHIP DETAILS - The internship runs roughly 12 weeks, between May 17 and August 30. - Residency in New York City is strongly preferred but not required. - The anticipated rate for this role is $4,500 per week, plus a $500 per week housing stipend or corporate housing. Pay may vary based on experience and scope. APPLICATION AND TIMELINE Please include, in addition to the application below: - Resume/CV - Letters of recommendation (1-2 letters, optional but recommended). - Recommenders should email their letters of support to recruiting@category.xyz with the "[name of the applicant], Research Intern 2027" in the subject line. - For full consideration, please submit applications by December 7, 2026. VISA & WORK AUTHORIZATION - We welcome international applicants and will consider visa and work authorization support on a case-by-case basis. Please note your current status and location in your application so we can discuss options early.

Location: Limassol, Cyprus Spotware Systems is looking for a motivated Senior QA Engineer to join our highly-professional backend team in our Limassol office. The position requires collaborating with product managers and team members to meet strict deadlines. You will work closely with software developers regarding our product’s functionalities. You will be involved in functional testing, customer scenario testing, stress testing, performance testing, sanity testing and overall QA improvement process. Key responsibilities : Performing requirements analysis. Communicating with product managers and developers. Testing design. Ongoing manual/automate functional/non-functional testing. Performing bug tracking and reporting. Requirements : 4+ years of experience in Quality Assurance position (backend projects). 2+ years troubleshooting Java. Read and debug production Java to find the cause. Reading of Java is required. Real non-HTTP protocol testing: TCP, Protobuf, gRPC, FIX, or queues (RabbitMQ/Kafka). WebSocket alone doesn't count. Test design techniques (boundary value analysis, equivalence partitioning, state transition). Requirements analysis (impact, traceability, functional & non-functional). Challenge vague specs before implementation. SQL beyond SELECT - joins, verification queries. Linux CLI + log reading (ssh, grep/zgrep over rotated logs). AI in daily work - use it (e.g. Claude) for analysis and tests, validate against source, logs, measurements. No blind trust. Fluency in Russian and B1+ in English language. A plus to have: Java (or another language) test-automation coding - building/maintaining integration/E2E test frameworks. Performance testing (JMeter, VisualVM), Protobuf load profiles. PostgreSQL, Redis. Forex experience. Forex industry experience. Conditions: Competitive salary. Private medical insurance. Relocation support (if applicable), including an entry permit, relocation bonus, flight tickets, and airport pickup. Support with settling into life in Cyprus, including basic guidance on everyday matters, accommodation, banking, and healthcare. A comfortable office environment with fresh fruits every day, treats or pizza on Wednesdays, and snack day on Fridays. Fair remuneration based on your experience, skills, and level of responsibility. Welcome Baby Bonus and Baby Box to celebrate the arrival of a child. Birthday voucher. Partial compensation for sports activities and wellness initiatives. Greek language classes.

Location: Hybrid; San Francisco, CA We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE This role is based in our San Francisco office and is also open to remote candidates in the US. We're hiring an Enterprise Demand Generation Marketing Manager to build and run the programs that fill our pipeline. You'll own campaigns across paid media, webinars, account-based marketing, and social, from strategy through launch and optimization. This is a builder role. You'll stand up programs that don't exist yet, ship them quickly, and scale what works. You'll partner closely with Sales, Product Marketing, Content, Design and RevOps to turn target accounts into qualified pipeline. WHAT YOU'LL DO - Plan, launch and optimize paid campaigns across LinkedIn, Google, Meta and content syndication channels, owning budget pacing, testing and reporting on CAC, pipeline and ROI - Run the webinar program end to end: pick topics and speakers, drive promotion and production, and manage follow-up through to pipeline conversion - Partner with Sales to define target account lists and build tiered account-based marketing plays (1:1, 1:few, 1:many), orchestrating multi-channel touches that drive engagement and meetings - Use paid and organic social to reach buyers, amplify campaigns and generate demand, working closely with Content and Creative - Define KPIs for each program and collaborate with RevOps on dashboards that show what's contributing to pipeline and revenue - Stand up new channels and programs, test quickly, cut what isn't working and scale what is - Align daily with Sales, SDRs, Product Marketing, Content, Design and RevOps on targets, messaging and handoffs WHAT YOU'LL NEED - 3+ years of hands-on experience running paid campaigns on LinkedIn, Google or Meta, with a track record of hitting pipeline targets - Experience building and scaling a webinar program that converts attendees into pipeline - Experience running account-based marketing in close partnership with Sales, including account selection, orchestration and measurement - A track record of using paid and organic social as a demand channel - Strong analytical skills, comfortable with attribution, funnel metrics and turning data into decisions - Working knowledge of marketing automation and CRM tools (for example, HubSpot or Marketo, and Salesforce) - Clear, concise communication skills and the ability to align multiple teams around a plan - Experience marketing to large, complex organizations with long sales cycles and multiple stakeholders - Strong project management instincts; you can run several overlapping campaigns at once and keep timelines, owners and dependencies organized - A builder's mindset: you'd rather create programs, processes and playbooks from scratch than inherit a finished machine - A collaborative approach; you work across teams every day, share credit, take feedback well, and treat Sales as a partner - Comfort using AI tools as part of your daily workflow, for drafting copy, building audience lists and analyzing campaign results NICE TO HAVE: - Experience marketing to creative, media or enterprise audiences - Experience on an early-stage or scaling marketing team - Familiarity with AI tools that speed up campaign production and analysis If this sounds like you, we'd love to hear from you, even if you don't check every box. Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a hands-on Legal Specialist (Law Enforcement) to join our Litigation, Regulatory & Policy team at Anthropic. In this role, you will be a key player in building out our legal function and running how Anthropic responds to law enforcement and government requests for user data, while navigating the intricate regulatory landscape of the AI industry. We expect this role to flex beyond the law enforcement queue into legal operations to support the broader litigation, regulatory, and policy team. The successful candidate will be a strong team player, able to build positive relationships with colleagues and work collaboratively toward shared goals. Key responsibilities Own the end-to-end response to law enforcement and government requests for user data, from intake and validation through production and closeout, including subpoenas, court orders, search warrants, preservation letters, and emergency disclosure requests from domestic and foreign authorities Prepare and execute data productions: scoping, data retrieval, coordination with counsel, and eventual production Handle foreign and cross-border process, including MLATs and letters rogatory, and manage escalations across jurisdictions Handle civil third-party subpoenas and preservation demands Maintain expertise in where user data lives across Anthropic's product surfaces and operate the internal data retrieval tooling Run and improve the law enforcement response process and tooling Partner with Trust and Safety, Security, Privacy, and Engineering on requests that touch user accounts, investigations, or safety escalations Coordinate with outside counsel, alongside in-house counsel, on objections, challenges, and narrowing Produce recurring reporting on request volume, deadlines, and queue health, and support Anthropic's periodic transparency reporting on government requests Monitor legal developments in government access to user data and advise the team on their operational impact Support litigation and regulatory matters and stretch beyond core responsibilities as needed to support the legal team's objectives Minimum qualifications Experience in a legal operations, business/operations manager, or paralegal role in an in-house legal department, or similar experience Direct, front-line experience handling law enforcement or government requests for user data, including subpoenas, court orders, warrants, preservation letters, and emergency disclosure requests Working knowledge of the legal framework for law enforcement access to user data, including the Stored Communications Act and the mechanics of foreign and cross-border requests such as MLATs Excellent written and verbal communication skills, with the ability to work effectively with colleagues at all levels of the organization Demonstrated ability to exercise good judgment and maintain the highest standards of discretion and confidentiality when handling sensitive legal matters, including under time pressure Strong project management skills, including the ability to prioritize tasks, meet deadlines, and manage multiple projects simultaneously Experience owning an intake, queue, or docketing process end to end,  including deciding what gets escalated and maintaining rigorous tracking Comfort operating and improving the tooling a legal process runs on (trackers, spreadsheets, forms, aliases, and simple automations), with a willingness to make changes directly rather than route every change to someone else A proactive, solutions-oriented approach to identifying, recommending, and implementing process improvements within the legal department Preferred qualifications 5+ years of experience in legal operations, business/operations management, or a paralegal role in an in-house legal department 2+ years of experience at a high-growth technology company, with exposure to the legal challenges and opportunities presented by emerging technologies Experience building or scaling a law enforcement response process Experience managing legal intake process within a growing company Demonstrated ability to think critically and creatively, adapting to new challenges and finding practical solutions to complex legal issues Familiarity with legal project management software such as Asana, Trello, or Jira, and a willingness to learn and adopt new tools to streamline legal processes The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $1 — $2 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Singapore Workplace: Remote About the role Developers no longer build alone. They build alongside AI coding agents. Enterprises across Asia-Pacific want to make that shift without losing control of their code, data and infrastructure, and Coder gives them a secure, governed place to do it. We need someone to tell that story in the region: in rooms, on stages and across the table from the technical leaders at the accounts that matter. As Senior Regional Marketing Manager, APAC, you'll be the face of Coder marketing here, running the events, field, ABM and partner programs that turn that story into pipeline. You will be Coder’s first feet on the ground in APAC, so this role is both strategic, tactical and hands-on. You'll set the regional plan and run it yourself, from target accounts and events down to the swag. You will work closely with regional sales, partners, and the global marketing team, and have real say in where Coder invests in APAC, reporting to the Director of International Marketing. What you’ll do here - Own the APAC marketing plan end to end, from planning through execution and reporting, aligned to global strategy and regional sales priorities and agreed with the Director of International Marketing. - Run in-person events that people actually remember, from platform engineering roundtables and developer meetups to executive dinners and conference presence across the region, with the occasional webinar where it makes sense. - Lead ABM programs for high-priority APAC accounts, partnering closely with sales to turn target account lists into real conversations and pipeline. - Plan and execute field marketing across the region, including roadshows, customer and prospect programs, and sales-aligned campaigns with clear handoffs and timely follow-through. - Build and run partner marketing with strategic alliances, resellers, and channel partners, including co-branded campaigns and joint events. - Partner with global marketing teams to localize campaign content and messaging for APAC markets and buying cultures. - Recommend and manage how the APAC budget is spent across events, vendors, agencies, and sponsorships. - Measure regional performance across attendance, engagement, influenced pipeline, and sourced pipeline, and use it to decide what to do more or less of. - Keep projects organized, timelines moving, and chaos to a minimum across multiple markets and time zones. What we’re looking for - Must be located in Singapore. - 10+ years of regional or field marketing experience, preferably in B2B technology or developer-focused companies. - Experience launching or growing a company’s marketing presence in APAC from a small base, owning the region as the primary or only marketer across in-person events, field, ABM, and partner marketing. - Hands-on experience executing regional programs, including events, partner campaigns, and sales-aligned marketing motions. - Experience running account-based marketing programs, including target account planning, personalized campaign touchpoints, and sales coordination. - Experience building co-marketing programs with alliances, resellers, or channel partners. - Experience managing a regional budget and working with agencies, event vendors, and sponsorships. - Experience partnering closely with sales leadership to support pipeline goals and regional priorities. - Strong project management skills, with the ability to manage timelines, vendors, details, and cross-functional inputs across time zones. - Clear written and verbal communication skills, with the ability to keep stakeholders informed and aligned, including asynchronously. - Comfort managing many programs at once while staying organized, responsive, and detail-oriented. - Ability to travel 20% within the region. - Familiarity with project management tools such as Asana or similar systems. Bonus tacos if you have - Experience marketing to developers, platform engineering teams, DevOps teams, or technical buyers. - Experience with enterprise SaaS, cloud infrastructure, open-source, or developer tools. - Familiarity with marketing automation, CRM, or ABM platforms such as HubSpot, Salesforce, 6sense or HockeyStack. - Existing relationships with APAC cloud, SI, and channel partners, or with regional developer communities and event organizers. - Experience measuring field marketing performance across attendance, engagement, influenced pipeline, and sourced pipeline. - Experience supporting a company with an open source offering. - Fluency in one or more APAC languages in addition to English. Our tech stack You do not need to know every tool on day one, but familiarity with common go-to-market systems will help you ramp quickly. This role may work across tools such as Asana, Salesforce, marketing automation platforms, ABM platforms, event platforms, and shared content systems. ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.